This notebook contains a set of analyses for analyzing AlabasterCrippens’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
AlabasterCrippens | training | published before 2020 | 351 | 117 |
AlabasterCrippens | validation | published 2020 | 20 | 0 |
AlabasterCrippens | test | published after 2020 | 6 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
AlabasterCrippens | Plaid Hat Games | 3.1% | 0.1% | 30.63 |
AlabasterCrippens | Artist Klemens Franz | 4.6% | 0.6% | 8.25 |
AlabasterCrippens | Stronghold Games | 4.0% | 0.5% | 7.36 |
AlabasterCrippens | Asmodee | 16.2% | 2.4% | 6.71 |
AlabasterCrippens | Fantasy Flight Games | 7.1% | 1.1% | 6.60 |
AlabasterCrippens | GMT Games | 4.8% | 1.3% | 3.80 |
AlabasterCrippens | Area Majority Influence | 23.1% | 6.9% | 3.34 |
AlabasterCrippens | Solo Solitaire Game | 10.5% | 3.2% | 3.29 |
AlabasterCrippens | Variable Player Powers | 24.8% | 11.8% | 2.10 |
AlabasterCrippens | Realtime Game | 6.3% | 3.4% | 1.83 |
AlabasterCrippens | Card Game | 35.3% | 29.5% | 1.20 |
AlabasterCrippens | Dice Rolling | 24.5% | 28.5% | 0.86 |
AlabasterCrippens | Scenario Mission Campaign Game | 1.7% | 2.1% | 0.82 |
AlabasterCrippens | Pattern Recognition | 1.1% | 2.7% | 0.42 |
AlabasterCrippens | Racing | 0.6% | 3.0% | 0.19 |
AlabasterCrippens | Aviation Flight | 0.0% | 1.3% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2019 | 286096 | Tapestry | 0.997 | yes |
2 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.993 | yes |
3 | 2015 | 175878 | 504 | 0.989 | no |
4 | 2018 | 205896 | Rising Sun | 0.986 | yes |
5 | 2013 | 143693 | Glass Road | 0.973 | yes |
6 | 2016 | 169786 | Scythe | 0.972 | yes |
7 | 2015 | 158915 | GEM | 0.957 | yes |
8 | 2017 | 192824 | GYM | 0.940 | yes |
9 | 2008 | 35677 | Le Havre | 0.934 | no |
10 | 2017 | 192827 | RUM | 0.900 | yes |
11 | 2019 | 274364 | Watergate | 0.894 | no |
12 | 2011 | 96848 | Mage Knight Board Game | 0.884 | yes |
13 | 2017 | 195455 | BOX | 0.882 | yes |
14 | 2016 | 205158 | Codenames: Deep Undercover | 0.876 | no |
15 | 2016 | 167791 | Terraforming Mars | 0.871 | yes |
16 | 2017 | 230059 | Crossfire | 0.867 | no |
17 | 2017 | 174430 | Gloomhaven | 0.859 | no |
18 | 2019 | 253574 | Crusader Kings | 0.853 | no |
19 | 2011 | 70919 | Takenoko | 0.847 | no |
20 | 2017 | 221805 | Breaking Bad: The Board Game | 0.827 | no |
21 | 2014 | 164928 | Orléans | 0.824 | yes |
22 | 2017 | 195454 | Nut | 0.819 | yes |
23 | 2008 | 38453 | Space Alert | 0.815 | yes |
24 | 2015 | 161383 | LIE | 0.814 | yes |
25 | 2014 | 159508 | AquaSphere | 0.811 | no |
26 | 2016 | 171131 | Captain Sonar | 0.795 | yes |
27 | 2019 | 266192 | Wingspan | 0.790 | yes |
28 | 2018 | 256643 | Neon Gods | 0.789 | yes |
29 | 2009 | 40237 | Long Shot | 0.786 | no |
30 | 2017 | 195456 | SPY | 0.785 | yes |
31 | 2012 | 111341 | The Great Zimbabwe | 0.776 | no |
32 | 2017 | 195373 | BOO | 0.771 | yes |
33 | 2017 | 192830 | ORC | 0.768 | yes |
34 | 2015 | 164158 | SHH | 0.761 | yes |
35 | 2017 | 197178 | DIG | 0.759 | yes |
36 | 2019 | 281946 | Aftermath | 0.756 | no |
37 | 2007 | 31481 | Galaxy Trucker | 0.754 | yes |
38 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.747 | no |
39 | 2016 | 193037 | Dead of Winter: The Long Night | 0.737 | yes |
40 | 2015 | 159143 | HUE | 0.734 | yes |
41 | 2016 | 187645 | Star Wars: Rebellion | 0.730 | yes |
42 | 2010 | 62227 | Labyrinth: The War on Terror, 2001 – ? | 0.722 | no |
43 | 2005 | 19623 | Handy | 0.719 | no |
44 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.713 | no |
45 | 2014 | 163412 | Patchwork | 0.707 | yes |
46 | 2010 | 62219 | Dominant Species | 0.698 | yes |
47 | 2018 | 257321 | Gen7: A Crossroads Game | 0.690 | yes |
48 | 2015 | 178900 | Codenames | 0.689 | yes |
49 | 2018 | 244711 | Newton | 0.688 | no |
50 | 2013 | 133528 | City of Remnants | 0.687 | yes |
51 | 2014 | 150376 | Dead of Winter: A Crossroads Game | 0.686 | yes |
52 | 2015 | 164159 | BUS | 0.679 | yes |
53 | 2015 | 158917 | TKO | 0.667 | yes |
54 | 2015 | 158916 | TAJ | 0.665 | yes |
55 | 2016 | 155821 | Inis | 0.656 | yes |
56 | 2009 | 40692 | Small World | 0.634 | no |
57 | 2017 | 193728 | Pendragon: The Fall of Roman Britain | 0.633 | yes |
58 | 1997 | 42 | Tigris & Euphrates | 0.627 | no |
59 | 2013 | 146278 | Tash-Kalar: Arena of Legends | 0.622 | yes |
60 | 2017 | 204516 | 878 Vikings: Invasions of England | 0.622 | no |
61 | 2015 | 158918 | FLY | 0.613 | yes |
62 | 2012 | 140068 | Galaxy Trucker: Anniversary Edition | 0.608 | yes |
63 | 2012 | 122515 | Keyflower | 0.604 | yes |
64 | 2017 | 220775 | Codenames: Disney – Family Edition | 0.604 | no |
65 | 2011 | 103343 | A Game of Thrones: The Board Game (Second Edition) | 0.603 | yes |
66 | 2013 | 133848 | Euphoria: Build a Better Dystopia | 0.596 | no |
67 | 2016 | 176083 | Hit Z Road | 0.592 | no |
68 | 2016 | 198773 | Codenames: Pictures | 0.590 | yes |
69 | 2018 | 258036 | Between Two Castles of Mad King Ludwig | 0.589 | yes |
70 | 2018 | 233080 | Book of Dragons | 0.588 | no |
71 | 2005 | 12333 | Twilight Struggle | 0.575 | yes |
72 | 2019 | 270971 | Era: Medieval Age | 0.569 | no |
73 | 2017 | 224037 | Codenames: Duet | 0.552 | no |
74 | 2013 | 144041 | Patchistory | 0.550 | no |
75 | 2009 | 54043 | Jaipur | 0.544 | yes |
76 | 2015 | 169255 | A Game of Thrones: The Card Game (Second Edition) | 0.543 | no |
77 | 2015 | 168435 | Between Two Cities | 0.539 | yes |
78 | 2019 | 285984 | Last Bastion | 0.532 | no |
79 | 2013 | 144239 | Impulse | 0.531 | yes |
80 | 2017 | 162886 | Spirit Island | 0.522 | no |
81 | 2016 | 205637 | Arkham Horror: The Card Game | 0.516 | yes |
82 | 1999 | 552 | Bus | 0.514 | yes |
83 | 2018 | 245357 | Starship Samurai | 0.509 | no |
84 | 2013 | 124052 | Cinque Terre | 0.507 | no |
85 | 2010 | 77130 | Sid Meier's Civilization: The Board Game | 0.506 | no |
86 | 2011 | 84419 | Space Empires 4X | 0.495 | no |
87 | 2010 | 70512 | Luna | 0.487 | no |
88 | 2005 | 19554 | Plext | 0.482 | no |
89 | 2008 | 33107 | Senji | 0.482 | no |
90 | 2015 | 170216 | Blood Rage | 0.482 | yes |
91 | 2006 | 22038 | Warrior Knights | 0.480 | yes |
92 | 2016 | 205398 | Citadels | 0.477 | no |
93 | 2008 | 38707 | Bushido: Der Weg des Kriegers | 0.472 | no |
94 | 2012 | 124708 | Mice and Mystics | 0.464 | yes |
95 | 2017 | 234487 | Altiplano | 0.463 | no |
96 | 2017 | 192401 | Dungeon Time | 0.459 | no |
97 | 2018 | 259809 | Sonar Family | 0.459 | no |
98 | 2017 | 224815 | Deca Slayer | 0.456 | no |
99 | 2008 | 39463 | Cosmic Encounter | 0.454 | yes |
100 | 2019 | 217576 | Hellenica: Story of Greece | 0.454 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.9 |
Decision Tree | roc_auc | binary | 0.8 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think AlabasterCrippens is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2015 | 175878 | 504 | 0.989 | no |
2008 | 35677 | Le Havre | 0.934 | no |
2019 | 274364 | Watergate | 0.894 | no |
2016 | 205158 | Codenames: Deep Undercover | 0.876 | no |
2017 | 230059 | Crossfire | 0.867 | no |
What games does the model think AlabasterCrippens is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1959 | 181 | Risk | 0.001 | yes |
1991 | 12280 | Geistesblitz | 0.002 | yes |
2012 | 94246 | 1812: The Invasion of Canada | 0.003 | yes |
2017 | 241266 | Little Town | 0.004 | yes |
2015 | 177725 | They Come Unseen | 0.004 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | The Great Zimbabwe | Glass Road | Orléans | 504 | Scythe | Twilight Imperium: Fourth Edition | Rising Sun | Tapestry |
2 | Galaxy Trucker: Anniversary Edition | City of Remnants | AquaSphere | GEM | Codenames: Deep Undercover | GYM | Neon Gods | Watergate |
3 | Keyflower | Tash-Kalar: Arena of Legends | Patchwork | LIE | Terraforming Mars | RUM | Cosmic Encounter: 42nd Anniversary Edition | Crusader Kings |
4 | Mice and Mystics | Euphoria: Build a Better Dystopia | Dead of Winter: A Crossroads Game | SHH | Captain Sonar | BOX | Gen7: A Crossroads Game | Wingspan |
5 | Terra Mystica | Patchistory | Ultimate Werewolf | HUE | Dead of Winter: The Long Night | Crossfire | Newton | Aftermath |
6 | Andean Abyss | Impulse | Splendor | Codenames | Star Wars: Rebellion | Gloomhaven | Between Two Castles of Mad King Ludwig | Era: Medieval Age |
7 | Archipelago | Cinque Terre | Black Fleet | BUS | Inis | Breaking Bad: The Board Game | Book of Dragons | Last Bastion |
8 | Rex: Final Days of an Empire | Room 25 | Deception: Murder in Hong Kong | TKO | Hit Z Road | Nut | Starship Samurai | Hellenica: Story of Greece |
9 | Space Cadets | BioShock Infinite: The Siege of Columbia | La Granja | TAJ | Codenames: Pictures | SPY | Sonar Family | The King's Dilemma |
10 | Android: Netrunner | Lewis & Clark: The Expedition | DungeonQuest Revised Edition | FLY | Arkham Horror: The Card Game | BOO | Stuffed Fables | Tiny Towns |
11 | Coup | Time 'n' Space | Three Kingdoms Redux | A Game of Thrones: The Card Game (Second Edition) | Citadels | ORC | Coimbra | Pax Pamir: Second Edition |
12 | Le Havre: The Inland Port | Gearworld: The Borderlands | Nations: The Dice Game | Between Two Cities | Agricola (Revised Edition) | DIG | Lords of Hellas | Maracaibo |
13 | Descent: Journeys in the Dark (Second Edition) | Concordia | Sheriff of Nottingham | Blood Rage | Evolution: Climate | Pendragon: The Fall of Roman Britain | Everdell | Blitzkrieg!: World War Two in 20 Minutes |
14 | Virgin Queen | Wildcatters | The Worst Game Ever | Food Chain Magnate | Junta: Las Cartas | 878 Vikings: Invasions of England | CO₂: Second Chance | Western Empires |
15 | Agricola: All Creatures Big and Small | Countdown: Special Ops | Akrotiri | Runebound (Third Edition) | New Angeles | Codenames: Disney – Family Edition | The Pirate Republic | KeyForge: Age of Ascension |
16 | Clash of Cultures | Tomorrow | Fields of Arle | Triumph & Tragedy: European Balance of Power 1936-1945 | When I Dream | Codenames: Duet | KeyForge: Call of the Archons | Amul |
17 | Snowdonia | Veritas | Evolution | Fury of Dracula (Third/Fourth Edition) | Turin Market | Spirit Island | Specter Ops: Broken Covenant | Nova Luna |
18 | Libertalia | Viticulture | Five Tribes | Specter Ops | Aeon's End | Altiplano | Duelosaur Island | Crystal Palace |
19 | Exodus: Proxima Centauri | 1862: Railway Mania in the Eastern Counties | King of New York | Mombasa | Falling Sky: The Gallic Revolt Against Caesar | Dungeon Time | Shadows: Amsterdam | Wavelength |
20 | Suburbia | Ladies & Gentlemen | Arkwright | Ashes Reborn: Rise of the Phoenixborn | Agricola: Family Edition | Deca Slayer | Brass: Birmingham | Ancient Civilizations of the Inner Sea |
21 | 1989: Dawn of Freedom | BANG! The Dice Game | Subdivision | Grand Austria Hotel | 13 Days: The Cuban Missile Crisis | My Little Scythe | Spring Meadow | Dune |
22 | Pax Porfiriana | Sissi!: Die Bohnenkaiserin | Gaïa | 7 Wonders Duel | Not Alone | Gaia Project | Loser | Pipeline |
23 | Mafia: Vendetta | String Safari | Roll for the Galaxy | Mission: Red Planet (Second Edition) | Beyond Baker Street | WOO | Dead Man's Doubloons | Comanauts |
24 | Robinson Crusoe: Adventures on the Cursed Island | Burning Suns | Hyperborea | Viticulture Essential Edition | Great Western Trail | Calimala | Fort Sumter: The Secession Crisis, 1860-61 | Trogdor!!: The Board Game |
25 | Love Letter | La Boca | Castles of Mad King Ludwig | Salem 1692 | Liberty or Death: The American Insurrection | SOW | Crystal Clans | Slyville |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
AlabasterCrippens | owned | validation | Decision Tree | roc_auc | 0.813 |
AlabasterCrippens | owned | validation | GLM | roc_auc | 0.801 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 300322 | Hallertau | 0.807 | yes |
2020 | 253506 | Versailles 1919 | 0.756 | yes |
2020 | 229782 | Roland Wright: The Dice Game | 0.642 | no |
2020 | 256317 | Guild Master | 0.604 | no |
2020 | 184267 | On Mars | 0.547 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.437 | no |
2020 | 300877 | New York Zoo | 0.402 | yes |
2020 | 302723 | Forgotten Waters | 0.393 | yes |
2020 | 312804 | Pendulum | 0.334 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.328 | no |
2020 | 320819 | Dinner in Paris | 0.321 | no |
2020 | 245224 | La Belle Époque | 0.300 | no |
2020 | 295687 | Trust Me, I'm a Doctor | 0.288 | no |
2020 | 302425 | Unlock!: Mythic Adventures | 0.279 | no |
2020 | 302465 | Obsidia | 0.278 | no |
2020 | 294788 | Conqueror: Final Conquest | 0.268 | no |
2020 | 319966 | The King Is Dead: Second Edition | 0.250 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.245 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.219 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.216 | no |
2020 | 299179 | Chancellorsville 1863 | 0.214 | no |
2020 | 301716 | Glasgow | 0.182 | yes |
2020 | 302840 | Carcata | 0.180 | no |
2020 | 206480 | Imperial Struggle | 0.178 | no |
2020 | 296345 | Sherlock Holmes Consulting Detective: The Baker Street Irregulars | 0.171 | no |
2020 | 284217 | Rush M.D. | 0.169 | no |
2020 | 316554 | Dune: Imperium | 0.161 | no |
2020 | 296626 | Sonora | 0.160 | no |
2020 | 327913 | Unlock!: Timeless Adventures – Arsène Lupin und der große weiße Diamant | 0.159 | no |
2020 | 318084 | Furnace | 0.154 | no |
2020 | 301919 | Pandemic: Hot Zone – North America | 0.151 | no |
2020 | 300327 | The Castles of Tuscany | 0.148 | yes |
2020 | 316377 | 7 Wonders (Second Edition) | 0.147 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.145 | no |
2020 | 271002 | Myraclia | 0.143 | no |
2020 | 310442 | Feierabend | 0.138 | no |
2020 | 308416 | Tapeworm | 0.134 | no |
2020 | 295905 | Cosmic Frog | 0.132 | no |
2020 | 293296 | Splendor: Marvel | 0.123 | no |
2020 | 317105 | Tiny Epic Galaxies BLAST OFF! | 0.119 | no |
2020 | 308765 | Praga Caput Regni | 0.119 | no |
2020 | 297139 | Potato Pirates: Enter the Spudnet | 0.117 | no |
2020 | 270685 | Capone: The Business of Prohibition | 0.110 | no |
2020 | 318183 | Prehistories | 0.109 | no |
2020 | 311927 | Long Live the King: A Game of Secrecy and Subterfuge | 0.108 | no |
2020 | 304285 | Infinity Gauntlet: A Love Letter Game | 0.108 | no |
2020 | 286749 | Hansa Teutonica: Big Box | 0.107 | yes |
2020 | 296892 | Sacred Rites | 0.105 | no |
2020 | 312267 | Star Wars: Unlock! | 0.102 | no |
2020 | 299317 | Aeon's End: Outcasts | 0.100 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2021 | 343905 | Boonlake | 0.960 | no |
2 | 2022 | 295374 | Long Shot: The Dice Game | 0.817 | no |
3 | 2022 | 331106 | The Witcher: Old World | 0.672 | no |
4 | 2021 | 285967 | Ankh: Gods of Egypt | 0.654 | no |
5 | 2022 | 341945 | La Granja: Deluxe Master Set | 0.590 | no |
6 | 2022 | 310873 | Carnegie | 0.588 | no |
7 | 2021 | 291859 | Riftforce | 0.535 | no |
8 | 2021 | 344277 | Corrosion | 0.493 | no |
9 | 2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.477 | yes |
10 | 2021 | 342942 | Ark Nova | 0.470 | no |
11 | 2022 | 356033 | Libertalia: Winds of Galecrest | 0.452 | no |
12 | 2021 | 340466 | Unfathomable | 0.433 | no |
13 | 2021 | 338980 | Eastern Empires | 0.425 | no |
14 | 2023 | 349793 | Age of Rome | 0.379 | no |
15 | 2021 | 329465 | Red Rising | 0.376 | no |
16 | 2021 | 305682 | Rolling Realms | 0.338 | no |
17 | 2021 | 262941 | Dominant Species: Marine | 0.308 | yes |
18 | 2021 | 316287 | Quest | 0.303 | no |
19 | 2022 | 326945 | Castles of Mad King Ludwig: Collector's Edition | 0.295 | no |
20 | 2022 | 240980 | Blood on the Clocktower | 0.289 | no |
21 | 2021 | 325022 | Coffee Traders | 0.278 | no |
22 | 2022 | 317511 | Tindaya | 0.269 | no |
23 | 2021 | 332800 | Summoner Wars (Second Edition) | 0.259 | no |
24 | 2022 | 314580 | Hamburg | 0.252 | no |
25 | 2021 | 221298 | NewSpeak | 0.246 | no |
26 | 2022 | 295770 | Frosthaven | 0.241 | no |
27 | 2021 | 339484 | Savannah Park | 0.226 | no |
28 | 2021 | 338760 | Imperial Steam | 0.216 | no |
29 | 2022 | 322524 | Bardsung | 0.213 | no |
30 | 2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.204 | no |
31 | 2021 | 319792 | Fly-A-Way | 0.200 | no |
32 | 2022 | 352695 | Oranienburger Kanal | 0.197 | no |
33 | 2022 | 356133 | Quirky Circuits: Penny & Gizmo's Snow Day! | 0.192 | no |
34 | 2022 | 271601 | Feed the Kraken | 0.191 | no |
35 | 2021 | 326804 | Rorschach | 0.188 | no |
36 | 2021 | 336794 | Galaxy Trucker | 0.186 | no |
37 | 2022 | 347013 | Get on Board: New York & London | 0.179 | no |
38 | 2021 | 325698 | Juicy Fruits | 0.169 | no |
39 | 2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.166 | no |
40 | 2022 | 354254 | Voices In My Head | 0.165 | no |
41 | 2021 | 249277 | Brazil: Imperial | 0.164 | no |
42 | 2022 | 332393 | Bridge City Poker | 0.163 | no |
43 | 2021 | 298378 | Maharaja | 0.163 | no |
44 | 2022 | 350316 | Wayfarers of the South Tigris | 0.162 | no |
45 | 2021 | 311920 | Ultimate Werewolf: Extreme | 0.161 | no |
46 | 2021 | 343696 | Dune: Betrayal | 0.159 | no |
47 | 2022 | 346199 | A Game of Thrones: B'Twixt | 0.158 | no |
48 | 2021 | 339790 | Cocktail | 0.156 | no |
49 | 2021 | 297562 | Kemet: Blood and Sand | 0.155 | no |
50 | 2021 | 292375 | The Great Wall | 0.154 | no |
51 | 2021 | 328478 | Dungeons & Dragons: Dungeon Scrawlers – Heroes of Undermountain | 0.152 | no |
52 | 2021 | 324242 | Sheepy Time | 0.148 | no |
53 | 2022 | 283137 | Human Punishment: The Beginning | 0.147 | no |
54 | 2021 | 328479 | Living Forest | 0.146 | no |
55 | 2022 | 350948 | Familiar Tales | 0.144 | no |
56 | 2021 | 328871 | Terraforming Mars: Ares Expedition | 0.143 | no |
57 | 2021 | 303954 | Pax Viking | 0.140 | no |
58 | 2021 | 308989 | Bristol 1350 | 0.139 | no |
59 | 2021 | 340909 | Gloomholdin' | 0.139 | no |
60 | 2021 | 296577 | Red Flag Over Paris | 0.128 | no |
61 | 2021 | 278304 | Fief: France Edition | 0.128 | no |
62 | 2021 | 330084 | Unlock!: Legendary Adventures | 0.128 | no |
63 | 2021 | 331635 | Kameloot | 0.127 | no |
64 | 2021 | 292899 | Tribune | 0.124 | no |
65 | 2022 | 319807 | Shogun no Katana | 0.121 | no |
66 | 2022 | 276182 | Dead Reckoning | 0.119 | no |
67 | 2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.116 | no |
68 | 2021 | 304985 | Dark Ages: Holy Roman Empire | 0.115 | no |
69 | 2021 | 290236 | Canvas | 0.114 | no |
70 | 2022 | 305096 | Endless Winter: Paleoamericans | 0.114 | no |
71 | 2022 | 359211 | The Old Prince 1871 | 0.110 | no |
72 | 2021 | 283387 | Rocketmen | 0.109 | no |
73 | 2021 | 339906 | The Hunger | 0.109 | no |
74 | 2021 | 314491 | Meadow | 0.109 | no |
75 | 2021 | 300323 | Conquest & Consequence | 0.108 | no |
76 | 2022 | 352263 | Through Ice and Snow | 0.106 | no |
77 | 2022 | 343900 | Senjutsu: Battle For Japan | 0.106 | no |
78 | 2022 | 300217 | Merchants of the Dark Road | 0.104 | no |
79 | 2021 | 337787 | Summer Camp | 0.104 | no |
80 | 2021 | 332944 | Sobek: 2 Players | 0.098 | no |
81 | 2021 | 308566 | Nova Lux | 0.098 | no |
82 | 2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.097 | no |
83 | 2021 | 339263 | Summoner Wars (Second Edition): Starter Set | 0.096 | no |
84 | 2021 | 318996 | Welcome to Sysifus Corp | 0.095 | no |
85 | 2021 | 333553 | For the King (and Me) | 0.095 | no |
86 | 2021 | 257305 | SHASN | 0.095 | no |
87 | 2022 | 308028 | Drop Drive | 0.095 | no |
88 | 2021 | 322014 | All-Star Draft | 0.093 | no |
89 | 2023 | 315727 | Last Light | 0.092 | no |
90 | 2021 | 266448 | Imperium: The Contention | 0.091 | no |
91 | 2021 | 295947 | Cascadia | 0.091 | no |
92 | 2021 | 280984 | Ruins: Death Binder | 0.091 | no |
93 | 2021 | 328569 | Mint Bid | 0.087 | no |
94 | 2021 | 305761 | Whale Riders | 0.087 | no |
95 | 2021 | 259066 | Commands & Colors: Samurai Battles | 0.085 | no |
96 | 2023 | 337627 | Voidfall | 0.084 | no |
97 | 2021 | 299659 | Clash of Cultures: Monumental Edition | 0.082 | no |
98 | 2021 | 306169 | MATCH 5 | 0.082 | no |
99 | 2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.081 | no |
100 | 2021 | 331212 | Aeon's End: Legacy of Gravehold | 0.079 | no |